Overview

Brought to you by YData

Dataset statistics

Number of variables62
Number of observations45
Missing cells429
Missing cells (%)15.4%
Total size in memory35.7 KiB
Average record size in memory811.7 B

Variable types

Text10
Numeric49
DateTime3

Dataset

Description[unitless] Answers received from questionnaires. To compare each sensor observation, the frequency was reduced to one minute. The first non-missing name is reported for each of the categorical variables.
Creatorname
Authorname
URL
Copyright(c) liveme organization 2024

Variable descriptions

tokentoken
w3_experimentidexperimentid
w3_lastpagelastpage
w3_submitdatesubmitdate
w3_startlanguagestartlanguage
w3_startdatestartdate
w3_datestampdatestamp
w3_refurlrefurl
w3_A01Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx
w3_A02w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]
w3_A02_otherOn which of the following smartphone brands have you installed and compiled the app? Answer: Other_
w3_A03Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________
w3_A03_otherDid you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________
w3_A04 [If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________
w3_A05 Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No
w3_A06[If w3_A05 = 1] What activities could you not place? ________________
w3_A07Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________
w3_A07_otherWhich of the following components would you like to see implemented?
w3_A08Other considerations about the experiment________________
w3_B01_1Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.
w3_B01_2Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.
w3_B01_3Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.
w3_B01_4Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.
w3_B01_5Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.
w3_B01_6Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.
w3_B01_7Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me
w3_B01_8Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.
w3_B01_9Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.
w3_B01_10Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.
w3_B01_11Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.
w3_B01_12Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.
w3_B01_13Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.
w3_B01_14Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)
w3_B01_15Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.
w3_B01_16Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.
w3_B01_17Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.
w3_B01_18Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.
w3_B01_19Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.
w3_B01_20Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune
w3_B01_21Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.
w3_B01_22Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.
w3_B01_23Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.
w3_B01_24Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.
w3_B01_25Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.
w3_B01_26Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.
w3_B01_27Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.
w3_B01_28Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.
w3_B01_29Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.
w3_B01_30Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.
w3_B01_31Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.
w3_B01_32Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.
w3_B01_33Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.
w3_B01_34Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.
w3_B01_35Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.
w3_C01As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No
w3_C02What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0
w3_D01In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities
w3_interviewtimeinterviewtime
w3_GT_A
w3_GT_B
w3_GT_C
w3_GT_D

Alerts

w3_experimentid has constant value "wenetUK" Constant
w3_A03_other has constant value "Since dowloading the app, my phone is extremely slow..." Constant
w3_submitdate has 4 (8.9%) missing values Missing
w3_refurl has 43 (95.6%) missing values Missing
w3_A01 has 1 (2.2%) missing values Missing
w3_A02 has 1 (2.2%) missing values Missing
w3_A02_other has 30 (66.7%) missing values Missing
w3_A03 has 1 (2.2%) missing values Missing
w3_A03_other has 44 (97.8%) missing values Missing
w3_A04 has 32 (71.1%) missing values Missing
w3_A05 has 1 (2.2%) missing values Missing
w3_A06 has 30 (66.7%) missing values Missing
w3_A07 has 2 (4.4%) missing values Missing
w3_A07_other has 42 (93.3%) missing values Missing
w3_A08 has 29 (64.4%) missing values Missing
w3_B01_1 has 4 (8.9%) missing values Missing
w3_B01_2 has 4 (8.9%) missing values Missing
w3_B01_3 has 4 (8.9%) missing values Missing
w3_B01_4 has 4 (8.9%) missing values Missing
w3_B01_5 has 4 (8.9%) missing values Missing
w3_B01_6 has 4 (8.9%) missing values Missing
w3_B01_7 has 4 (8.9%) missing values Missing
w3_B01_8 has 4 (8.9%) missing values Missing
w3_B01_9 has 4 (8.9%) missing values Missing
w3_B01_10 has 4 (8.9%) missing values Missing
w3_B01_11 has 4 (8.9%) missing values Missing
w3_B01_12 has 4 (8.9%) missing values Missing
w3_B01_13 has 4 (8.9%) missing values Missing
w3_B01_14 has 5 (11.1%) missing values Missing
w3_B01_15 has 4 (8.9%) missing values Missing
w3_B01_16 has 4 (8.9%) missing values Missing
w3_B01_17 has 3 (6.7%) missing values Missing
w3_B01_18 has 4 (8.9%) missing values Missing
w3_B01_19 has 4 (8.9%) missing values Missing
w3_B01_20 has 4 (8.9%) missing values Missing
w3_B01_21 has 4 (8.9%) missing values Missing
w3_B01_22 has 4 (8.9%) missing values Missing
w3_B01_23 has 4 (8.9%) missing values Missing
w3_B01_24 has 4 (8.9%) missing values Missing
w3_B01_25 has 4 (8.9%) missing values Missing
w3_B01_26 has 4 (8.9%) missing values Missing
w3_B01_27 has 4 (8.9%) missing values Missing
w3_B01_28 has 4 (8.9%) missing values Missing
w3_B01_29 has 4 (8.9%) missing values Missing
w3_B01_30 has 4 (8.9%) missing values Missing
w3_B01_31 has 4 (8.9%) missing values Missing
w3_B01_32 has 5 (11.1%) missing values Missing
w3_B01_33 has 4 (8.9%) missing values Missing
w3_B01_34 has 4 (8.9%) missing values Missing
w3_B01_35 has 5 (11.1%) missing values Missing
w3_C01 has 4 (8.9%) missing values Missing
w3_C02 has 6 (13.3%) missing values Missing
w3_D01 has 5 (11.1%) missing values Missing
w3_GT_A has 1 (2.2%) missing values Missing
w3_GT_B has 3 (6.7%) missing values Missing
w3_GT_C has 4 (8.9%) missing values Missing
w3_GT_D has 4 (8.9%) missing values Missing
token has unique values Unique
w3_startdate has unique values Unique
w3_datestamp has unique values Unique
w3_interviewtime has unique values Unique
w3_lastpage has 1 (2.2%) zeros Zeros
w3_interviewtime has 1 (2.2%) zeros Zeros

Reproduction

Analysis started2025-02-26 16:47:47.015032
Analysis finished2025-02-26 16:47:47.148285
Duration0.13 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

token
Text

Unique 

token

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2025-02-26T17:47:47.283628image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters675
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st row0fTa0mMzcl6d4Ia
2nd row1PDX9zqbs3As3Mg
3rd row3rj1sGaRx4lDoq7
4th row4T2pk0kIJalg2kn
5th row50HSzHzaL0XzLRz
ValueCountFrequency (%)
0fta0mmzcl6d4ia 1
 
2.2%
1pdx9zqbs3as3mg 1
 
2.2%
3rj1sgarx4ldoq7 1
 
2.2%
4t2pk0kijalg2kn 1
 
2.2%
50hszhzal0xzlrz 1
 
2.2%
5rbaozq4uqhvgbt 1
 
2.2%
5wrzxnjzdwvzr7t 1
 
2.2%
6gnxabhujszxfro 1
 
2.2%
6uol0zuyx1lsgxx 1
 
2.2%
7m40zgzqehozxpp 1
 
2.2%
Other values (35) 35
77.8%
2025-02-26T17:47:47.478108image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 26
 
3.9%
z 26
 
3.9%
7 16
 
2.4%
H 16
 
2.4%
O 16
 
2.4%
4 15
 
2.2%
R 15
 
2.2%
0 14
 
2.1%
J 14
 
2.1%
Z 14
 
2.1%
Other values (52) 503
74.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 675
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 26
 
3.9%
z 26
 
3.9%
7 16
 
2.4%
H 16
 
2.4%
O 16
 
2.4%
4 15
 
2.2%
R 15
 
2.2%
0 14
 
2.1%
J 14
 
2.1%
Z 14
 
2.1%
Other values (52) 503
74.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 675
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 26
 
3.9%
z 26
 
3.9%
7 16
 
2.4%
H 16
 
2.4%
O 16
 
2.4%
4 15
 
2.2%
R 15
 
2.2%
0 14
 
2.1%
J 14
 
2.1%
Z 14
 
2.1%
Other values (52) 503
74.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 675
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 26
 
3.9%
z 26
 
3.9%
7 16
 
2.4%
H 16
 
2.4%
O 16
 
2.4%
4 15
 
2.2%
R 15
 
2.2%
0 14
 
2.1%
J 14
 
2.1%
Z 14
 
2.1%
Other values (52) 503
74.5%

w3_experimentid
Text

Constant 

experimentid

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size807.0 B
2025-02-26T17:47:47.537924image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters315
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowwenetUK
2nd rowwenetUK
3rd rowwenetUK
4th rowwenetUK
5th rowwenetUK
ValueCountFrequency (%)
wenetuk 45
100.0%
2025-02-26T17:47:47.627452image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 90
28.6%
w 45
14.3%
n 45
14.3%
t 45
14.3%
U 45
14.3%
K 45
14.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 315
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 90
28.6%
w 45
14.3%
n 45
14.3%
t 45
14.3%
U 45
14.3%
K 45
14.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 315
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 90
28.6%
w 45
14.3%
n 45
14.3%
t 45
14.3%
U 45
14.3%
K 45
14.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 315
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 90
28.6%
w 45
14.3%
n 45
14.3%
t 45
14.3%
U 45
14.3%
K 45
14.3%

w3_lastpage
Real number (ℝ)

Zeros 

lastpage

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.733333333
Minimum0
Maximum4
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:47.667546image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q14
median4
Q34
95-th percentile4
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8893306983
Coefficient of variation (CV)0.2382135799
Kurtosis9.907183919
Mean3.733333333
Median Absolute Deviation (MAD)0
Skewness-3.290365373
Sum168
Variance0.7909090909
MonotonicityNot monotonic
2025-02-26T17:47:47.706783image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 41
91.1%
1 2
 
4.4%
2 1
 
2.2%
0 1
 
2.2%
ValueCountFrequency (%)
0 1
 
2.2%
1 2
 
4.4%
2 1
 
2.2%
4 41
91.1%
ValueCountFrequency (%)
4 41
91.1%
2 1
 
2.2%
1 2
 
4.4%
0 1
 
2.2%

w3_submitdate
Date

Missing 

submitdate

Distinct41
Distinct (%)100.0%
Missing4
Missing (%)8.9%
Memory size492.0 B
Minimum2020-12-04 11:55:31
Maximum2020-12-10 11:54:34
2025-02-26T17:47:47.754549image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:47.811625image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

w3_startlanguage
Text

startlanguage

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size587.0 B
2025-02-26T17:47:47.848955image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.111111111
Min length2

Characters and Unicode

Total characters95
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st rowen
2nd rowen
3rd rowen
4th rowen
5th rowen
ValueCountFrequency (%)
en 44
97.8%
zh-hans 1
 
2.2%
2025-02-26T17:47:47.982727image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 45
47.4%
e 44
46.3%
z 1
 
1.1%
h 1
 
1.1%
- 1
 
1.1%
H 1
 
1.1%
a 1
 
1.1%
s 1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 95
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 45
47.4%
e 44
46.3%
z 1
 
1.1%
h 1
 
1.1%
- 1
 
1.1%
H 1
 
1.1%
a 1
 
1.1%
s 1
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 95
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 45
47.4%
e 44
46.3%
z 1
 
1.1%
h 1
 
1.1%
- 1
 
1.1%
H 1
 
1.1%
a 1
 
1.1%
s 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 95
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 45
47.4%
e 44
46.3%
z 1
 
1.1%
h 1
 
1.1%
- 1
 
1.1%
H 1
 
1.1%
a 1
 
1.1%
s 1
 
1.1%

w3_startdate
Date

Unique 

startdate

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2020-12-04 11:50:35
Maximum2020-12-14 18:14:17
2025-02-26T17:47:48.032617image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:48.085405image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

w3_datestamp
Date

Unique 

datestamp

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2020-12-04 11:50:46
Maximum2020-12-14 18:15:55
2025-02-26T17:47:48.138553image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
2025-02-26T17:47:48.191695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

w3_refurl
Text

Missing 

refurl

Distinct2
Distinct (%)100.0%
Missing43
Missing (%)95.6%
Memory size521.0 B
2025-02-26T17:47:48.259455image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length11.5
Min length10

Characters and Unicode

Total characters23
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st rowlimesurvey
2nd rowandroid-gmail
ValueCountFrequency (%)
limesurvey 1
50.0%
android-gmail 1
50.0%
2025-02-26T17:47:48.373096image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
i 3
13.0%
l 2
 
8.7%
m 2
 
8.7%
e 2
 
8.7%
r 2
 
8.7%
a 2
 
8.7%
d 2
 
8.7%
s 1
 
4.3%
u 1
 
4.3%
v 1
 
4.3%
Other values (5) 5
21.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
i 3
13.0%
l 2
 
8.7%
m 2
 
8.7%
e 2
 
8.7%
r 2
 
8.7%
a 2
 
8.7%
d 2
 
8.7%
s 1
 
4.3%
u 1
 
4.3%
v 1
 
4.3%
Other values (5) 5
21.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
i 3
13.0%
l 2
 
8.7%
m 2
 
8.7%
e 2
 
8.7%
r 2
 
8.7%
a 2
 
8.7%
d 2
 
8.7%
s 1
 
4.3%
u 1
 
4.3%
v 1
 
4.3%
Other values (5) 5
21.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 23
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
i 3
13.0%
l 2
 
8.7%
m 2
 
8.7%
e 2
 
8.7%
r 2
 
8.7%
a 2
 
8.7%
d 2
 
8.7%
s 1
 
4.3%
u 1
 
4.3%
v 1
 
4.3%
Other values (5) 5
21.7%

w3_A01
Real number (ℝ)

Missing 

Do you want to continue the experiment for another two weeks? *(* Payments description) 1. No, I want to end the experiment on xxxx 2. Yes, I want to continue the experiment until xxxx

Distinct2
Distinct (%)4.5%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean1.636363636
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:48.414838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4866070996
Coefficient of variation (CV)0.2973710053
Kurtosis-1.736373818
Mean1.636363636
Median Absolute Deviation (MAD)0
Skewness-0.5871560155
Sum72
Variance0.2367864693
MonotonicityNot monotonic
2025-02-26T17:47:48.453127image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 28
62.2%
1 16
35.6%
(Missing) 1
 
2.2%
ValueCountFrequency (%)
1 16
35.6%
2 28
62.2%
ValueCountFrequency (%)
2 28
62.2%
1 16
35.6%

w3_A02
Real number (ℝ)

Missing 

w3_A02. On which of the following smartphone brands have you installed and compiled the app? 1. Huawei [for JLU Huawei/Honor] 2. Wiko 3. Xiaomi 4. Samsung 5. Motorola 6. Asus 7. Lenovo 8. Other:_ 9. OPPO/VIVO [for JLU] 10. Oneplus [for JLU]

Distinct5
Distinct (%)11.4%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean4.840909091
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:48.488256image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median4
Q38
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation2.542139566
Coefficient of variation (CV)0.5251368118
Kurtosis-1.254731973
Mean4.840909091
Median Absolute Deviation (MAD)2
Skewness0.06199582053
Sum213
Variance6.462473573
MonotonicityNot monotonic
2025-02-26T17:47:48.527480image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 16
35.6%
8 15
33.3%
1 7
15.6%
3 4
 
8.9%
5 2
 
4.4%
(Missing) 1
 
2.2%
ValueCountFrequency (%)
1 7
15.6%
3 4
 
8.9%
4 16
35.6%
5 2
 
4.4%
8 15
33.3%
ValueCountFrequency (%)
8 15
33.3%
5 2
 
4.4%
4 16
35.6%
3 4
 
8.9%
1 7
15.6%

w3_A02_other
Text

Missing 

On which of the following smartphone brands have you installed and compiled the app? Answer: Other_

Distinct9
Distinct (%)60.0%
Missing30
Missing (%)66.7%
Memory size611.0 B
2025-02-26T17:47:48.584980image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length16
Median length8
Mean length7.533333333
Min length4

Characters and Unicode

Total characters113
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)26.7%

Sample

1st rowGoogle
2nd rowGoogle (Pixel 5)
3rd rowRedmi
4th rowSony
5th rowGoogle
ValueCountFrequency (%)
oneplus 5
25.0%
google 5
25.0%
pixel 4
20.0%
sony 2
 
10.0%
5 1
 
5.0%
redmi 1
 
5.0%
one 1
 
5.0%
plus 1
 
5.0%
2025-02-26T17:47:48.693383image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 16
14.2%
l 15
13.3%
o 12
10.6%
n 8
 
7.1%
P 8
 
7.1%
O 6
 
5.3%
u 6
 
5.3%
s 6
 
5.3%
G 5
 
4.4%
g 5
 
4.4%
Other values (12) 26
23.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 113
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 16
14.2%
l 15
13.3%
o 12
10.6%
n 8
 
7.1%
P 8
 
7.1%
O 6
 
5.3%
u 6
 
5.3%
s 6
 
5.3%
G 5
 
4.4%
g 5
 
4.4%
Other values (12) 26
23.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 113
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 16
14.2%
l 15
13.3%
o 12
10.6%
n 8
 
7.1%
P 8
 
7.1%
O 6
 
5.3%
u 6
 
5.3%
s 6
 
5.3%
G 5
 
4.4%
g 5
 
4.4%
Other values (12) 26
23.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 113
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 16
14.2%
l 15
13.3%
o 12
10.6%
n 8
 
7.1%
P 8
 
7.1%
O 6
 
5.3%
u 6
 
5.3%
s 6
 
5.3%
G 5
 
4.4%
g 5
 
4.4%
Other values (12) 26
23.0%

w3_A03
Real number (ℝ)

Missing 

Did you experience any difficulties in one of the following moments while using the i-Log app? 1. I found no difficulty 2. In finding and downloading the app 3. During installation 4. During configuration 5. In interfacing with the logic of the app 6. Other: ________________

Distinct5
Distinct (%)11.4%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean2.181818182
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:48.736413image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q34
95-th percentile5
Maximum6
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.807899041
Coefficient of variation (CV)0.8286203939
Kurtosis-0.7950783203
Mean2.181818182
Median Absolute Deviation (MAD)0
Skewness1.002193529
Sum96
Variance3.268498943
MonotonicityNot monotonic
2025-02-26T17:47:48.775754image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1 30
66.7%
5 7
 
15.6%
4 4
 
8.9%
6 2
 
4.4%
3 1
 
2.2%
(Missing) 1
 
2.2%
ValueCountFrequency (%)
1 30
66.7%
3 1
 
2.2%
4 4
 
8.9%
5 7
 
15.6%
6 2
 
4.4%
ValueCountFrequency (%)
6 2
 
4.4%
5 7
 
15.6%
4 4
 
8.9%
3 1
 
2.2%
1 30
66.7%

w3_A03_other
Text

Constant  Missing 

Did you experience any difficulties in one of the following moments while using the i-Log app? 6. Other:________________

Distinct1
Distinct (%)100.0%
Missing44
Missing (%)97.8%
Memory size553.0 B
2025-02-26T17:47:48.841490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length55
Median length55
Mean length55
Min length55

Characters and Unicode

Total characters55
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowSince dowloading the app, my phone is extremely slow...
ValueCountFrequency (%)
since 1
11.1%
dowloading 1
11.1%
the 1
11.1%
app 1
11.1%
my 1
11.1%
phone 1
11.1%
is 1
11.1%
extremely 1
11.1%
slow 1
11.1%
2025-02-26T17:47:48.956496image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
14.5%
e 6
 
10.9%
o 4
 
7.3%
i 3
 
5.5%
n 3
 
5.5%
l 3
 
5.5%
p 3
 
5.5%
. 3
 
5.5%
d 2
 
3.6%
w 2
 
3.6%
Other values (12) 18
32.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 55
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8
14.5%
e 6
 
10.9%
o 4
 
7.3%
i 3
 
5.5%
n 3
 
5.5%
l 3
 
5.5%
p 3
 
5.5%
. 3
 
5.5%
d 2
 
3.6%
w 2
 
3.6%
Other values (12) 18
32.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 55
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8
14.5%
e 6
 
10.9%
o 4
 
7.3%
i 3
 
5.5%
n 3
 
5.5%
l 3
 
5.5%
p 3
 
5.5%
. 3
 
5.5%
d 2
 
3.6%
w 2
 
3.6%
Other values (12) 18
32.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 55
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8
14.5%
e 6
 
10.9%
o 4
 
7.3%
i 3
 
5.5%
n 3
 
5.5%
l 3
 
5.5%
p 3
 
5.5%
. 3
 
5.5%
d 2
 
3.6%
w 2
 
3.6%
Other values (12) 18
32.7%

w3_A04
Text

Missing 

[If w3_A03 ≠ 1] Could you tell us what kind of difficulty did you encounter? ________________

Distinct13
Distinct (%)100.0%
Missing32
Missing (%)71.1%
Memory size2.9 KiB
2025-02-26T17:47:49.117840image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length723
Median length181
Mean length193
Min length18

Characters and Unicode

Total characters2509
Distinct characters44
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st rowWhile changing the security/privacy setting to allow the app to collect data the app screen froze and I had to reinstall the app and start the configuration process again
2nd rowThe buttons weren't being selected when pressed
3rd rowIt is very tedious
4th rowThe use of the app, or at least the fact that it is running in the background, has considerably lowered the performance of my phone, with delays in opening offer apps and typing for example.
5th rowMy first difficulty was that the 'snooze' function was unintuitive to find and so I had to ask the helpdesk for support in finding it. However, this problem was solved after the helpdesk aided me. My second difficulty was that that 4 time diaries expired after a particularly long night's sleep despite me having a clear memory of what I was doing during those timeslots after I woke up. My third was that the logs synced with the server very slowly and randomly despite being connected to my wifi and despite me tapping 'Sync Logs' to force the sync. I suspect this is because my home wifi is weak but given that its my only wifi and the app doesn't allow syncs to be forced on mobile data there was nothing I could do."
ValueCountFrequency (%)
the 31
 
6.5%
to 24
 
5.1%
i 23
 
4.8%
was 15
 
3.2%
and 13
 
2.7%
app 11
 
2.3%
it 11
 
2.3%
my 11
 
2.3%
that 10
 
2.1%
a 7
 
1.5%
Other values (217) 319
67.2%
2025-02-26T17:47:49.335010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
464
18.5%
e 236
 
9.4%
t 211
 
8.4%
a 159
 
6.3%
i 142
 
5.7%
s 141
 
5.6%
o 137
 
5.5%
n 134
 
5.3%
l 88
 
3.5%
h 84
 
3.3%
Other values (34) 713
28.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2509
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
464
18.5%
e 236
 
9.4%
t 211
 
8.4%
a 159
 
6.3%
i 142
 
5.7%
s 141
 
5.6%
o 137
 
5.5%
n 134
 
5.3%
l 88
 
3.5%
h 84
 
3.3%
Other values (34) 713
28.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2509
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
464
18.5%
e 236
 
9.4%
t 211
 
8.4%
a 159
 
6.3%
i 142
 
5.7%
s 141
 
5.6%
o 137
 
5.5%
n 134
 
5.3%
l 88
 
3.5%
h 84
 
3.3%
Other values (34) 713
28.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2509
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
464
18.5%
e 236
 
9.4%
t 211
 
8.4%
a 159
 
6.3%
i 142
 
5.7%
s 141
 
5.6%
o 137
 
5.5%
n 134
 
5.3%
l 88
 
3.5%
h 84
 
3.3%
Other values (34) 713
28.4%

w3_A05
Real number (ℝ)

Missing 

Were there some situations in which you were unable to place the activity you were carrying out in one of the options proposed by the app questionnaires? 1. Yes 2. No

Distinct2
Distinct (%)4.5%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean1.636363636
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:49.385490image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4866070996
Coefficient of variation (CV)0.2973710053
Kurtosis-1.736373818
Mean1.636363636
Median Absolute Deviation (MAD)0
Skewness-0.5871560155
Sum72
Variance0.2367864693
MonotonicityNot monotonic
2025-02-26T17:47:49.424123image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
2 28
62.2%
1 16
35.6%
(Missing) 1
 
2.2%
ValueCountFrequency (%)
1 16
35.6%
2 28
62.2%
ValueCountFrequency (%)
2 28
62.2%
1 16
35.6%

w3_A06
Text

Missing 

[If w3_A05 = 1] What activities could you not place? ________________

Distinct15
Distinct (%)100.0%
Missing30
Missing (%)66.7%
Memory size3.1 KiB
2025-02-26T17:47:49.582981image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length568
Median length138
Mean length179.8
Min length15

Characters and Unicode

Total characters2697
Distinct characters57
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st rowOften activities could reasonably be placed in several different categories: e.g. zoom calls which were personal vs. professional. Unclear if a personal zoom call counts as socialising or zoom call? Equally a professional zoom call could have been a zoom call or work etc. Equally the presence of others in a space was never easy for me to pick. Does someone have to be in my flat or my room to count as present? Lastly I don't think I found eggs listed in the food section. "
2nd rowThere doesn't seem to be a specific option for individual study in preparation for lectures or seminars. I used the option "Study/work group" and put "Alone", but it doesn't feel like the most accurate thing to do."
3rd rowWorking out at the gym. The location was there, but not the activity (unless I just missed it in the list)
4th rowSex. Board games. Netflix and other TVshow platforms.
5th rowWhenever I managed personal data on my laptop (working on an excel spreadsheet of my budget, sorting through holiday pictures, etc.). I ended up placing it in the work category
ValueCountFrequency (%)
i 20
 
4.0%
a 17
 
3.4%
the 16
 
3.2%
in 10
 
2.0%
my 10
 
2.0%
and 10
 
2.0%
it 10
 
2.0%
zoom 9
 
1.8%
as 9
 
1.8%
or 8
 
1.6%
Other values (215) 375
75.9%
2025-02-26T17:47:49.799066image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
480
17.8%
e 240
 
8.9%
o 186
 
6.9%
t 179
 
6.6%
a 164
 
6.1%
s 145
 
5.4%
n 144
 
5.3%
i 138
 
5.1%
r 115
 
4.3%
l 104
 
3.9%
Other values (47) 802
29.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2697
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
480
17.8%
e 240
 
8.9%
o 186
 
6.9%
t 179
 
6.6%
a 164
 
6.1%
s 145
 
5.4%
n 144
 
5.3%
i 138
 
5.1%
r 115
 
4.3%
l 104
 
3.9%
Other values (47) 802
29.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2697
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
480
17.8%
e 240
 
8.9%
o 186
 
6.9%
t 179
 
6.6%
a 164
 
6.1%
s 145
 
5.4%
n 144
 
5.3%
i 138
 
5.1%
r 115
 
4.3%
l 104
 
3.9%
Other values (47) 802
29.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2697
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
480
17.8%
e 240
 
8.9%
o 186
 
6.9%
t 179
 
6.6%
a 164
 
6.1%
s 145
 
5.4%
n 144
 
5.3%
i 138
 
5.1%
r 115
 
4.3%
l 104
 
3.9%
Other values (47) 802
29.7%

w3_A07
Real number (ℝ)

Missing 

Which of the following components would you like to see implemented? 1. Presence of a greater number of hours for the "Sleep" option 2. Introduction of pop ups that explain the content of the answer options 3. Presence of precompiled combinations (eg: Lesson -> Classroom, university laboratory -> Classmates) 4. Introduction of daily feedback on the number of completed questionnaires 5. Introduction of feedback on the progress of the compilation 6. Introduction of the possibility to change the background of the app 7. Other: ________________

Distinct7
Distinct (%)16.3%
Missing2
Missing (%)4.4%
Infinite0
Infinite (%)0.0%
Mean3.093023256
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:49.846175image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.810208532
Coefficient of variation (CV)0.5852553899
Kurtosis0.09329716664
Mean3.093023256
Median Absolute Deviation (MAD)1
Skewness0.9158487201
Sum133
Variance3.276854928
MonotonicityNot monotonic
2025-02-26T17:47:49.885684image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3 17
37.8%
1 9
20.0%
2 7
15.6%
7 4
 
8.9%
5 3
 
6.7%
6 2
 
4.4%
4 1
 
2.2%
(Missing) 2
 
4.4%
ValueCountFrequency (%)
1 9
20.0%
2 7
15.6%
3 17
37.8%
4 1
 
2.2%
5 3
 
6.7%
ValueCountFrequency (%)
7 4
 
8.9%
6 2
 
4.4%
5 3
 
6.7%
4 1
 
2.2%
3 17
37.8%

w3_A07_other
Text

Missing 

Which of the following components would you like to see implemented?

Distinct3
Distinct (%)100.0%
Missing42
Missing (%)93.3%
Memory size1.4 KiB
2025-02-26T17:47:50.010697image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length526
Median length235
Mean length297.6666667
Min length132

Characters and Unicode

Total characters893
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st rowThe option of searching, when it comes to the answers. For example, writing V and the option vegetable shows up. Multitasking maybe should be included. Usually, while I'm eating I watch youtube videos. Or when I'm walking, I talk to the phone. Engagement: the interaction with the app is a little bit boring. Especially when you have a busy day so even though I want to be consistent I find it difficult. I would like to have the option to say that I studied from X to Y hour and don't answer what I did it for every hour."
2nd rowAbility to apply a single acitivity over a longer duration rather than continuously entering the same activity in multiple sessions.
3rd rowIf I am already assessing the quality of my sleep, I should be able to say from when to when I slept. That has the same analytical value (or maybe even more) than having to assess the sleep in general and then also analyse every 30min.
ValueCountFrequency (%)
the 11
 
6.7%
to 10
 
6.1%
i 10
 
6.1%
when 5
 
3.0%
a 4
 
2.4%
option 3
 
1.8%
it 3
 
1.8%
and 3
 
1.8%
be 3
 
1.8%
of 2
 
1.2%
Other values (95) 111
67.3%
2025-02-26T17:47:50.192020image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
18.5%
e 79
 
8.8%
t 68
 
7.6%
a 59
 
6.6%
i 51
 
5.7%
n 51
 
5.7%
o 48
 
5.4%
s 43
 
4.8%
h 39
 
4.4%
l 37
 
4.1%
Other values (35) 253
28.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 893
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
165
18.5%
e 79
 
8.8%
t 68
 
7.6%
a 59
 
6.6%
i 51
 
5.7%
n 51
 
5.7%
o 48
 
5.4%
s 43
 
4.8%
h 39
 
4.4%
l 37
 
4.1%
Other values (35) 253
28.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 893
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
165
18.5%
e 79
 
8.8%
t 68
 
7.6%
a 59
 
6.6%
i 51
 
5.7%
n 51
 
5.7%
o 48
 
5.4%
s 43
 
4.8%
h 39
 
4.4%
l 37
 
4.1%
Other values (35) 253
28.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 893
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
165
18.5%
e 79
 
8.8%
t 68
 
7.6%
a 59
 
6.6%
i 51
 
5.7%
n 51
 
5.7%
o 48
 
5.4%
s 43
 
4.8%
h 39
 
4.4%
l 37
 
4.1%
Other values (35) 253
28.3%

w3_A08
Text

Missing 

Other considerations about the experiment________________

Distinct16
Distinct (%)100.0%
Missing29
Missing (%)64.4%
Memory size4.8 KiB
2025-02-26T17:47:50.341314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Length

Max length1052
Median length248
Mean length277.9375
Min length23

Characters and Unicode

Total characters4447
Distinct characters58
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st rowI wake up quite early at around 6am and often go to sleep before 10pm, the questions about my expectations about my day are too late and I often did not have to fill out the how was your day question at 10pm as I already snoozed the app by then. Also the question about Covid for the end of the day often did not make real sense to me for a given day - the impact is more in medium-long term considerations when planning not on the day itself. "
2nd rowIt would be nice to have the possibility of selecting more than one activity per slot, e.g. I usually listen to music while doing something else like sport or studying, and the lack of an option to input combined activities misrepresents the amount of music I listen to.
3rd rowThe UI is definitely dated, and hindered my ability to quickly get through surveys. There were also some spelling/grammatical mistakes that could be ironed out.
4th rowI found myself going back and forth sometimes because some questions need you to press on next and others don't. Also, when I clicked on the wrong option, it was a bit annoying to press previous because the app is also a bit laggy. So I would press previous too many times and that just led me to go back and forth in the questions.
5th rowThe activity logs are too short e.g every half an hour seems too often and I'm usually doing the same thing within this time frame
ValueCountFrequency (%)
the 43
 
5.1%
i 42
 
5.0%
to 27
 
3.2%
of 16
 
1.9%
a 16
 
1.9%
and 14
 
1.7%
for 13
 
1.6%
was 11
 
1.3%
when 11
 
1.3%
it 11
 
1.3%
Other values (310) 633
75.6%
2025-02-26T17:47:50.538029image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
824
18.5%
e 424
 
9.5%
t 341
 
7.7%
o 295
 
6.6%
n 264
 
5.9%
i 258
 
5.8%
a 249
 
5.6%
s 220
 
4.9%
h 162
 
3.6%
r 153
 
3.4%
Other values (48) 1257
28.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4447
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
824
18.5%
e 424
 
9.5%
t 341
 
7.7%
o 295
 
6.6%
n 264
 
5.9%
i 258
 
5.8%
a 249
 
5.6%
s 220
 
4.9%
h 162
 
3.6%
r 153
 
3.4%
Other values (48) 1257
28.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4447
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
824
18.5%
e 424
 
9.5%
t 341
 
7.7%
o 295
 
6.6%
n 264
 
5.9%
i 258
 
5.8%
a 249
 
5.6%
s 220
 
4.9%
h 162
 
3.6%
r 153
 
3.4%
Other values (48) 1257
28.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4447
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
824
18.5%
e 424
 
9.5%
t 341
 
7.7%
o 295
 
6.6%
n 264
 
5.9%
i 258
 
5.8%
a 249
 
5.6%
s 220
 
4.9%
h 162
 
3.6%
r 153
 
3.4%
Other values (48) 1257
28.3%

w3_B01_1
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Writing is a natural way for me to express myself.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.341463415
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:50.587192image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.459619062
Coefficient of variation (CV)0.4368203031
Kurtosis-1.196094313
Mean3.341463415
Median Absolute Deviation (MAD)1
Skewness-0.3797352824
Sum137
Variance2.130487805
MonotonicityNot monotonic
2025-02-26T17:47:50.629450image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 12
26.7%
4 9
20.0%
3 8
17.8%
1 7
15.6%
2 5
11.1%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 7
15.6%
2 5
11.1%
3 8
17.8%
4 9
20.0%
5 12
26.7%
ValueCountFrequency (%)
5 12
26.7%
4 9
20.0%
3 8
17.8%
2 5
11.1%
1 7
15.6%

w3_B01_2
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school studies in native language or social studies were easier for me than mathematics, physics and chemistry.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.12195122
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:50.669789image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.469610866
Coefficient of variation (CV)0.4707347305
Kurtosis-1.298889242
Mean3.12195122
Median Absolute Deviation (MAD)1
Skewness-0.0718785492
Sum128
Variance2.159756098
MonotonicityNot monotonic
2025-02-26T17:47:50.710806image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 11
24.4%
5 11
24.4%
1 8
17.8%
2 6
13.3%
4 5
11.1%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 8
17.8%
2 6
13.3%
3 11
24.4%
4 5
11.1%
5 11
24.4%
ValueCountFrequency (%)
5 11
24.4%
4 5
11.1%
3 11
24.4%
2 6
13.3%
1 8
17.8%

w3_B01_3
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I have recently written something that I am especially proud of, or for which I have received recognition.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.12195122
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:50.750236image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.14444576
Coefficient of variation (CV)0.3665802825
Kurtosis-0.6774682792
Mean3.12195122
Median Absolute Deviation (MAD)1
Skewness-0.2497066151
Sum128
Variance1.309756098
MonotonicityNot monotonic
2025-02-26T17:47:50.791933image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 13
28.9%
3 12
26.7%
2 8
17.8%
5 4
 
8.9%
1 4
 
8.9%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 4
 
8.9%
2 8
17.8%
3 12
26.7%
4 13
28.9%
5 4
 
8.9%
ValueCountFrequency (%)
5 4
 
8.9%
4 13
28.9%
3 12
26.7%
2 8
17.8%
1 4
 
8.9%

w3_B01_4
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Metaphors and vivid verbal expressions help me learn efficiently.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.731707317
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:50.832006image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.096001602
Coefficient of variation (CV)0.2936997758
Kurtosis0.2905348033
Mean3.731707317
Median Absolute Deviation (MAD)1
Skewness-0.8690849954
Sum153
Variance1.201219512
MonotonicityNot monotonic
2025-02-26T17:47:50.873710image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 18
40.0%
5 10
22.2%
3 7
 
15.6%
2 4
 
8.9%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 4
 
8.9%
3 7
 
15.6%
4 18
40.0%
5 10
22.2%
ValueCountFrequency (%)
5 10
22.2%
4 18
40.0%
3 7
 
15.6%
2 4
 
8.9%
1 2
 
4.4%

w3_B01_5
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school I was good at mathematics, physics or chemistry.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.536585366
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:50.976814image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.286420634
Coefficient of variation (CV)0.3637465242
Kurtosis-1.175255221
Mean3.536585366
Median Absolute Deviation (MAD)1
Skewness-0.3813825995
Sum145
Variance1.654878049
MonotonicityNot monotonic
2025-02-26T17:47:51.018010image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
26.7%
5 12
26.7%
2 10
22.2%
3 5
11.1%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 10
22.2%
3 5
11.1%
4 12
26.7%
5 12
26.7%
ValueCountFrequency (%)
5 12
26.7%
4 12
26.7%
3 5
11.1%
2 10
22.2%
1 2
 
4.4%

w3_B01_6
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can work with and solve complex problems.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.707317073
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.058635image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9012186871
Coefficient of variation (CV)0.2430918827
Kurtosis0.8743057534
Mean3.707317073
Median Absolute Deviation (MAD)1
Skewness-0.6623304703
Sum152
Variance0.812195122
MonotonicityNot monotonic
2025-02-26T17:47:51.099959image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 19
42.2%
3 12
26.7%
5 7
 
15.6%
2 2
 
4.4%
1 1
 
2.2%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 1
 
2.2%
2 2
 
4.4%
3 12
26.7%
4 19
42.2%
5 7
 
15.6%
ValueCountFrequency (%)
5 7
 
15.6%
4 19
42.2%
3 12
26.7%
2 2
 
4.4%
1 1
 
2.2%

w3_B01_7
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Mental arithmetic is easy for me

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.141168image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile4
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation0.9746794345
Coefficient of variation (CV)0.3248931448
Kurtosis-0.4708019783
Mean3
Median Absolute Deviation (MAD)1
Skewness0
Sum123
Variance0.95
MonotonicityNot monotonic
2025-02-26T17:47:51.182311image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 15
33.3%
4 11
24.4%
2 11
24.4%
1 2
 
4.4%
5 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 11
24.4%
3 15
33.3%
4 11
24.4%
5 2
 
4.4%
ValueCountFrequency (%)
5 2
 
4.4%
4 11
24.4%
3 15
33.3%
2 11
24.4%
1 2
 
4.4%

w3_B01_8
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at games and problem solving, which require logical thinking.

Distinct4
Distinct (%)9.8%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.829268293
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.221342image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8632044666
Coefficient of variation (CV)0.2254228225
Kurtosis-0.3484789067
Mean3.829268293
Median Absolute Deviation (MAD)1
Skewness-0.3894153081
Sum157
Variance0.7451219512
MonotonicityNot monotonic
2025-02-26T17:47:51.260449image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 19
42.2%
3 10
22.2%
5 9
20.0%
2 3
 
6.7%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2 3
 
6.7%
3 10
22.2%
4 19
42.2%
5 9
20.0%
ValueCountFrequency (%)
5 9
20.0%
4 19
42.2%
3 10
22.2%
2 3
 
6.7%

w3_B01_9
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : At school, geometry and various kinds of assignments involving spatial perception were easier for me than solving equations.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.024390244
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.298889image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.106521687
Coefficient of variation (CV)0.3658660417
Kurtosis-0.4957677878
Mean3.024390244
Median Absolute Deviation (MAD)1
Skewness0.6482337542
Sum124
Variance1.224390244
MonotonicityNot monotonic
2025-02-26T17:47:51.340597image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 16
35.6%
2 14
31.1%
5 7
15.6%
4 3
 
6.7%
1 1
 
2.2%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 1
 
2.2%
2 14
31.1%
3 16
35.6%
4 3
 
6.7%
5 7
15.6%
ValueCountFrequency (%)
5 7
15.6%
4 3
 
6.7%
3 16
35.6%
2 14
31.1%
1 1
 
2.2%

w3_B01_10
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is easy for me to conceptualize complex and multidimensional patterns.

Distinct4
Distinct (%)9.8%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.390243902
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.379566image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median3
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9969465578
Coefficient of variation (CV)0.2940633732
Kurtosis-0.926285923
Mean3.390243902
Median Absolute Deviation (MAD)1
Skewness0.2392392337
Sum139
Variance0.993902439
MonotonicityNot monotonic
2025-02-26T17:47:51.417314image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 16
35.6%
4 10
22.2%
2 8
17.8%
5 7
15.6%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2 8
17.8%
3 16
35.6%
4 10
22.2%
5 7
15.6%
ValueCountFrequency (%)
5 7
15.6%
4 10
22.2%
3 16
35.6%
2 8
17.8%

w3_B01_11
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily imagine how a landscape looks from a bird’s-eye view.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.455265image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.118033989
Coefficient of variation (CV)0.3726779962
Kurtosis-0.5245668016
Mean3
Median Absolute Deviation (MAD)1
Skewness-0.2256708605
Sum123
Variance1.25
MonotonicityNot monotonic
2025-02-26T17:47:51.496845image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 15
33.3%
4 11
24.4%
2 7
15.6%
1 5
 
11.1%
5 3
 
6.7%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 5
 
11.1%
2 7
15.6%
3 15
33.3%
4 11
24.4%
5 3
 
6.7%
ValueCountFrequency (%)
5 3
 
6.7%
4 11
24.4%
3 15
33.3%
2 7
15.6%
1 5
 
11.1%

w3_B01_12
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When I read, I form illustrative pictures or designs in my mind.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.707317073
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.538126image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.188358162
Coefficient of variation (CV)0.320543978
Kurtosis-0.4197071254
Mean3.707317073
Median Absolute Deviation (MAD)1
Skewness-0.7105826822
Sum152
Variance1.412195122
MonotonicityNot monotonic
2025-02-26T17:47:51.579730image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
33.3%
5 12
26.7%
2 6
 
13.3%
3 6
 
13.3%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 6
 
13.3%
3 6
 
13.3%
4 15
33.3%
5 12
26.7%
ValueCountFrequency (%)
5 12
26.7%
4 15
33.3%
3 6
 
13.3%
2 6
 
13.3%
1 2
 
4.4%

w3_B01_13
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am handy.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.390243902
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.621012image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.262498491
Coefficient of variation (CV)0.3723916411
Kurtosis-0.7770573075
Mean3.390243902
Median Absolute Deviation (MAD)1
Skewness-0.4058997062
Sum139
Variance1.593902439
MonotonicityNot monotonic
2025-02-26T17:47:51.662097image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 12
26.7%
3 10
22.2%
5 9
20.0%
2 6
13.3%
1 4
 
8.9%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 4
 
8.9%
2 6
13.3%
3 10
22.2%
4 12
26.7%
5 9
20.0%
ValueCountFrequency (%)
5 9
20.0%
4 12
26.7%
3 10
22.2%
2 6
13.3%
1 4
 
8.9%

w3_B01_14
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily do something concrete with my hands (e.g. knitting and woodwork)

Distinct5
Distinct (%)12.5%
Missing5
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean2.95
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.703071image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q33.25
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.338770963
Coefficient of variation (CV)0.4538206655
Kurtosis-0.8782123238
Mean2.95
Median Absolute Deviation (MAD)1
Skewness0.2979716137
Sum118
Variance1.792307692
MonotonicityNot monotonic
2025-02-26T17:47:51.744657image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 15
33.3%
5 9
20.0%
2 9
20.0%
1 6
 
13.3%
4 1
 
2.2%
(Missing) 5
 
11.1%
ValueCountFrequency (%)
1 6
 
13.3%
2 9
20.0%
3 15
33.3%
4 1
 
2.2%
5 9
20.0%
ValueCountFrequency (%)
5 9
20.0%
4 1
 
2.2%
3 15
33.3%
2 9
20.0%
1 6
 
13.3%

w3_B01_15
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am good at showing how to do something in practice.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.536585366
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.785049image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9245961544
Coefficient of variation (CV)0.2614375333
Kurtosis1.304131613
Mean3.536585366
Median Absolute Deviation (MAD)1
Skewness-0.910413166
Sum145
Variance0.8548780488
MonotonicityNot monotonic
2025-02-26T17:47:51.825771image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 20
44.4%
3 13
28.9%
5 4
 
8.9%
2 2
 
4.4%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 2
 
4.4%
3 13
28.9%
4 20
44.4%
5 4
 
8.9%
ValueCountFrequency (%)
5 4
 
8.9%
4 20
44.4%
3 13
28.9%
2 2
 
4.4%
1 2
 
4.4%

w3_B01_16
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I was good at handicrafts at school.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean2.951219512
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.864973image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.263946587
Coefficient of variation (CV)0.4282794222
Kurtosis-1.015412737
Mean2.951219512
Median Absolute Deviation (MAD)1
Skewness0.01765388231
Sum121
Variance1.597560976
MonotonicityNot monotonic
2025-02-26T17:47:51.905844image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 10
22.2%
3 10
22.2%
2 10
22.2%
1 6
13.3%
5 5
11.1%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 6
13.3%
2 10
22.2%
3 10
22.2%
4 10
22.2%
5 5
11.1%
ValueCountFrequency (%)
5 5
11.1%
4 10
22.2%
3 10
22.2%
2 10
22.2%
1 6
13.3%

w3_B01_17
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : After hearing a tune once or twice I am able to sing or whistle it quite accurately.

Distinct5
Distinct (%)11.9%
Missing3
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean3.071428571
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:51.945390image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.350570921
Coefficient of variation (CV)0.4397207649
Kurtosis-1.04184821
Mean3.071428571
Median Absolute Deviation (MAD)1
Skewness-0.1979423957
Sum129
Variance1.824041812
MonotonicityNot monotonic
2025-02-26T17:47:51.986757image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 12
26.7%
4 10
22.2%
1 8
17.8%
5 7
15.6%
2 5
11.1%
(Missing) 3
 
6.7%
ValueCountFrequency (%)
1 8
17.8%
2 5
11.1%
3 12
26.7%
4 10
22.2%
5 7
15.6%
ValueCountFrequency (%)
5 7
15.6%
4 10
22.2%
3 12
26.7%
2 5
11.1%
1 8
17.8%

w3_B01_18
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : When listening to music, I am able to discern instruments or recognize melodies.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.43902439
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.026695image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.225740194
Coefficient of variation (CV)0.3564209076
Kurtosis-1.067886958
Mean3.43902439
Median Absolute Deviation (MAD)1
Skewness-0.3228492241
Sum141
Variance1.502439024
MonotonicityNot monotonic
2025-02-26T17:47:52.068224image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 14
31.1%
2 10
22.2%
5 9
20.0%
3 6
13.3%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 10
22.2%
3 6
13.3%
4 14
31.1%
5 9
20.0%
ValueCountFrequency (%)
5 9
20.0%
4 14
31.1%
3 6
13.3%
2 10
22.2%
1 2
 
4.4%

w3_B01_19
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I can easily keep the rhythm when drumming a melody.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.317073171
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.109769image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.331146581
Coefficient of variation (CV)0.4013015427
Kurtosis-0.9176139827
Mean3.317073171
Median Absolute Deviation (MAD)1
Skewness-0.5540878387
Sum136
Variance1.77195122
MonotonicityNot monotonic
2025-02-26T17:47:52.151337image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 17
37.8%
5 7
15.6%
1 6
 
13.3%
2 6
 
13.3%
3 5
 
11.1%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 6
 
13.3%
2 6
 
13.3%
3 5
 
11.1%
4 17
37.8%
5 7
15.6%
ValueCountFrequency (%)
5 7
15.6%
4 17
37.8%
3 5
 
11.1%
2 6
 
13.3%
1 6
 
13.3%

w3_B01_20
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I notice immediately if a melody is out of tune

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.097560976
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.192740image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.179086045
Coefficient of variation (CV)0.3806498257
Kurtosis-0.9299531591
Mean3.097560976
Median Absolute Deviation (MAD)1
Skewness-0.1974355673
Sum127
Variance1.390243902
MonotonicityNot monotonic
2025-02-26T17:47:52.234125image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 14
31.1%
2 10
22.2%
3 9
20.0%
1 4
 
8.9%
5 4
 
8.9%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 4
 
8.9%
2 10
22.2%
3 9
20.0%
4 14
31.1%
5 4
 
8.9%
ValueCountFrequency (%)
5 4
 
8.9%
4 14
31.1%
3 9
20.0%
2 10
22.2%
1 4
 
8.9%

w3_B01_21
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even in strange company, I easily find someone to talk to.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean2.975609756
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.275837image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.234661996
Coefficient of variation (CV)0.414927392
Kurtosis-0.817421681
Mean2.975609756
Median Absolute Deviation (MAD)1
Skewness0.1321320832
Sum122
Variance1.524390244
MonotonicityNot monotonic
2025-02-26T17:47:52.316582image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
3 13
28.9%
2 10
22.2%
4 7
15.6%
5 6
13.3%
1 5
 
11.1%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 5
 
11.1%
2 10
22.2%
3 13
28.9%
4 7
15.6%
5 6
13.3%
ValueCountFrequency (%)
5 6
13.3%
4 7
15.6%
3 13
28.9%
2 10
22.2%
1 5
 
11.1%

w3_B01_22
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I get alone easily with different types of people.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.536585366
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.356817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9771786166
Coefficient of variation (CV)0.2763056778
Kurtosis-0.09852477119
Mean3.536585366
Median Absolute Deviation (MAD)1
Skewness-0.4455748633
Sum145
Variance0.9548780488
MonotonicityNot monotonic
2025-02-26T17:47:52.400017image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 17
37.8%
3 12
26.7%
5 6
 
13.3%
2 5
 
11.1%
1 1
 
2.2%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 1
 
2.2%
2 5
 
11.1%
3 12
26.7%
4 17
37.8%
5 6
 
13.3%
ValueCountFrequency (%)
5 6
 
13.3%
4 17
37.8%
3 12
26.7%
2 5
 
11.1%
1 1
 
2.2%

w3_B01_23
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I make contact easily with other people.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.243902439
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.440865image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.178568789
Coefficient of variation (CV)0.3633181981
Kurtosis-0.762020114
Mean3.243902439
Median Absolute Deviation (MAD)1
Skewness-0.501688491
Sum133
Variance1.38902439
MonotonicityNot monotonic
2025-02-26T17:47:52.483319image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 18
40.0%
2 8
17.8%
3 7
 
15.6%
5 4
 
8.9%
1 4
 
8.9%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 4
 
8.9%
2 8
17.8%
3 7
 
15.6%
4 18
40.0%
5 4
 
8.9%
ValueCountFrequency (%)
5 4
 
8.9%
4 18
40.0%
3 7
 
15.6%
2 8
17.8%
1 4
 
8.9%

w3_B01_24
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In negotiations and group work, I am able to support the group to find a consensus.

Distinct4
Distinct (%)9.8%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.780487805
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.522736image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6896446593
Coefficient of variation (CV)0.1824221357
Kurtosis0.9150180869
Mean3.780487805
Median Absolute Deviation (MAD)0
Skewness-0.6440729346
Sum155
Variance0.4756097561
MonotonicityNot monotonic
2025-02-26T17:47:52.560047image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 26
57.8%
3 9
 
20.0%
5 4
 
8.9%
2 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2 2
 
4.4%
3 9
 
20.0%
4 26
57.8%
5 4
 
8.9%
ValueCountFrequency (%)
5 4
 
8.9%
4 26
57.8%
3 9
 
20.0%
2 2
 
4.4%

w3_B01_25
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I am able to analyse my own motives and ways of action.

Distinct4
Distinct (%)9.8%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean4.024390244
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.596067image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8511111819
Coefficient of variation (CV)0.2114882331
Kurtosis-0.2397604365
Mean4.024390244
Median Absolute Deviation (MAD)1
Skewness-0.5593187896
Sum165
Variance0.7243902439
MonotonicityNot monotonic
2025-02-26T17:47:52.634080image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 18
40.0%
5 13
28.9%
3 8
17.8%
2 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2 2
 
4.4%
3 8
17.8%
4 18
40.0%
5 13
28.9%
ValueCountFrequency (%)
5 13
28.9%
4 18
40.0%
3 8
17.8%
2 2
 
4.4%

w3_B01_26
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often think about my own feelings and sentiments and seek reasons for them.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.853658537
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.673616image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.108173624
Coefficient of variation (CV)0.2875640416
Kurtosis0.5021716304
Mean3.853658537
Median Absolute Deviation (MAD)1
Skewness-0.9715242272
Sum158
Variance1.22804878
MonotonicityNot monotonic
2025-02-26T17:47:52.714637image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 16
35.6%
5 13
28.9%
3 7
15.6%
2 3
 
6.7%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 3
 
6.7%
3 7
15.6%
4 16
35.6%
5 13
28.9%
ValueCountFrequency (%)
5 13
28.9%
4 16
35.6%
3 7
15.6%
2 3
 
6.7%
1 2
 
4.4%

w3_B01_27
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I spend time regularly reflecting on the important issues in life.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.829268293
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.755819image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.115850327
Coefficient of variation (CV)0.2914004037
Kurtosis0.3204517712
Mean3.829268293
Median Absolute Deviation (MAD)1
Skewness-0.8944895685
Sum157
Variance1.245121951
MonotonicityNot monotonic
2025-02-26T17:47:52.797428image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
33.3%
5 13
28.9%
3 8
17.8%
2 3
 
6.7%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 3
 
6.7%
3 8
17.8%
4 15
33.3%
5 13
28.9%
ValueCountFrequency (%)
5 13
28.9%
4 15
33.3%
3 8
17.8%
2 3
 
6.7%
1 2
 
4.4%

w3_B01_28
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I like to read psychological or philosophical literature to increase my self-knowledge.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.219512195
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.838166image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.255232949
Coefficient of variation (CV)0.3898829614
Kurtosis-1.11788655
Mean3.219512195
Median Absolute Deviation (MAD)1
Skewness-0.03903638913
Sum132
Variance1.575609756
MonotonicityNot monotonic
2025-02-26T17:47:52.879439image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
2 11
24.4%
4 10
22.2%
3 9
20.0%
5 8
17.8%
1 3
 
6.7%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 3
 
6.7%
2 11
24.4%
3 9
20.0%
4 10
22.2%
5 8
17.8%
ValueCountFrequency (%)
5 8
17.8%
4 10
22.2%
3 9
20.0%
2 11
24.4%
1 3
 
6.7%

w3_B01_29
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I enjoy the beauty and experiences related to nature.

Distinct4
Distinct (%)9.8%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean4.292682927
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:52.917506image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8137537232
Coefficient of variation (CV)0.1895676287
Kurtosis0.03975712374
Mean4.292682927
Median Absolute Deviation (MAD)1
Skewness-0.891842543
Sum176
Variance0.662195122
MonotonicityNot monotonic
2025-02-26T17:47:53.013875image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
5 20
44.4%
4 14
31.1%
3 6
 
13.3%
2 1
 
2.2%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2 1
 
2.2%
3 6
 
13.3%
4 14
31.1%
5 20
44.4%
ValueCountFrequency (%)
5 20
44.4%
4 14
31.1%
3 6
 
13.3%
2 1
 
2.2%

w3_B01_30
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Protecting the nature is important to me.

Distinct4
Distinct (%)9.8%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean4
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.050589image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median4
Q35
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8660254038
Coefficient of variation (CV)0.2165063509
Kurtosis0.1695006748
Mean4
Median Absolute Deviation (MAD)1
Skewness-0.7283495704
Sum164
Variance0.75
MonotonicityNot monotonic
2025-02-26T17:47:53.086690image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 20
44.4%
5 12
26.7%
3 6
 
13.3%
2 3
 
6.7%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2 3
 
6.7%
3 6
 
13.3%
4 20
44.4%
5 12
26.7%
ValueCountFrequency (%)
5 12
26.7%
4 20
44.4%
3 6
 
13.3%
2 3
 
6.7%

w3_B01_31
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I pay attention to my consumption habits in order to protect environment.

Distinct4
Distinct (%)9.8%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.536585366
Minimum2
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.124528image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.051131794
Coefficient of variation (CV)0.2972165763
Kurtosis-1.137674135
Mean3.536585366
Median Absolute Deviation (MAD)1
Skewness-0.1692214082
Sum145
Variance1.104878049
MonotonicityNot monotonic
2025-02-26T17:47:53.162641image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
4 15
33.3%
2 9
20.0%
3 9
20.0%
5 8
17.8%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2 9
20.0%
3 9
20.0%
4 15
33.3%
5 8
17.8%
ValueCountFrequency (%)
5 8
17.8%
4 15
33.3%
3 9
20.0%
2 9
20.0%

w3_B01_32
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : In midst of busy everyday life, I find it important to contemplate.

Distinct5
Distinct (%)12.5%
Missing5
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3.775
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.201817image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.95
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.187272245
Coefficient of variation (CV)0.3145092041
Kurtosis-0.3387527691
Mean3.775
Median Absolute Deviation (MAD)1
Skewness-0.7005081062
Sum151
Variance1.409615385
MonotonicityNot monotonic
2025-02-26T17:47:53.243384image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
5 14
31.1%
4 11
24.4%
3 9
20.0%
2 4
 
8.9%
1 2
 
4.4%
(Missing) 5
 
11.1%
ValueCountFrequency (%)
1 2
 
4.4%
2 4
 
8.9%
3 9
20.0%
4 11
24.4%
5 14
31.1%
ValueCountFrequency (%)
5 14
31.1%
4 11
24.4%
3 9
20.0%
2 4
 
8.9%
1 2
 
4.4%

w3_B01_33
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : Even ordinary every-day life is full of miraculous things.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.43902439
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.284542image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.141244507
Coefficient of variation (CV)0.3318512396
Kurtosis-0.6954923118
Mean3.43902439
Median Absolute Deviation (MAD)1
Skewness-0.4258746295
Sum141
Variance1.302439024
MonotonicityNot monotonic
2025-02-26T17:47:53.326677image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 16
35.6%
2 8
17.8%
3 8
17.8%
5 7
15.6%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 8
17.8%
3 8
17.8%
4 16
35.6%
5 7
15.6%
ValueCountFrequency (%)
5 7
15.6%
4 16
35.6%
3 8
17.8%
2 8
17.8%
1 2
 
4.4%

w3_B01_34
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : I often reflect on the meaning of life.

Distinct5
Distinct (%)12.2%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.780487805
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.367301image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.235155762
Coefficient of variation (CV)0.3267186209
Kurtosis-0.4681350503
Mean3.780487805
Median Absolute Deviation (MAD)1
Skewness-0.8142442704
Sum155
Variance1.525609756
MonotonicityNot monotonic
2025-02-26T17:47:53.409630image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 15
33.3%
5 14
31.1%
2 7
15.6%
3 3
 
6.7%
1 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 2
 
4.4%
2 7
15.6%
3 3
 
6.7%
4 15
33.3%
5 14
31.1%
ValueCountFrequency (%)
5 14
31.1%
4 15
33.3%
3 3
 
6.7%
2 7
15.6%
1 2
 
4.4%

w3_B01_35
Real number (ℝ)

Missing 

Use this scale to evaluate your attitude towards the following statements. 1. Totally disagree, 2, 3, 4, 5. Totally agree. Answer : It is important to me to share a quiet moment with others.

Distinct5
Distinct (%)12.5%
Missing5
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean3.975
Minimum1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.450316image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q13.75
median4
Q35
95-th percentile5
Maximum5
Range4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation0.9195177108
Coefficient of variation (CV)0.2313252103
Kurtosis1.524955722
Mean3.975
Median Absolute Deviation (MAD)1
Skewness-0.9903214274
Sum159
Variance0.8455128205
MonotonicityNot monotonic
2025-02-26T17:47:53.492788image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
4 18
40.0%
5 12
26.7%
3 8
17.8%
1 1
 
2.2%
2 1
 
2.2%
(Missing) 5
 
11.1%
ValueCountFrequency (%)
1 1
 
2.2%
2 1
 
2.2%
3 8
17.8%
4 18
40.0%
5 12
26.7%
ValueCountFrequency (%)
5 12
26.7%
4 18
40.0%
3 8
17.8%
2 1
 
2.2%
1 1
 
2.2%

w3_C01
Real number (ℝ)

Missing 

As a last question we would like to ask you about your Body Mass Index (BMI). This is a standard measure used in health studies related to nutrition. Do you agree to answer? 1. Yes 2. No

Distinct2
Distinct (%)4.9%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean1.048780488
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.534233image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum2
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.21808479
Coefficient of variation (CV)0.2079413114
Kurtosis17.79092702
Mean1.048780488
Median Absolute Deviation (MAD)0
Skewness4.350225199
Sum43
Variance0.04756097561
MonotonicityNot monotonic
2025-02-26T17:47:53.571271image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 39
86.7%
2 2
 
4.4%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
1 39
86.7%
2 2
 
4.4%
ValueCountFrequency (%)
2 2
 
4.4%
1 39
86.7%

w3_C02
Real number (ℝ)

Missing 

What is your BMI level? [Use the formula BMI = mass/(height x height) to calculate your BMI, where mass should be in kilograms and height should be in meters. Example: if your height is 1.6m and your weight is 52kg, your BMI would be 52/(1.6x1.6)=20.3.] 1. BMI < 18.5 2. BMI in range [18.5 – 24.9] 3. BMI in range [25.0 - 29.9] 4. BMI > 30.0

Distinct4
Distinct (%)10.3%
Missing6
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean2.256410256
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.606487image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median2
Q33
95-th percentile3.1
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6773768569
Coefficient of variation (CV)0.300201107
Kurtosis0.9667025157
Mean2.256410256
Median Absolute Deviation (MAD)0
Skewness0.7077474819
Sum88
Variance0.4588394062
MonotonicityNot monotonic
2025-02-26T17:47:53.643237image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 25
55.6%
3 9
 
20.0%
1 3
 
6.7%
4 2
 
4.4%
(Missing) 6
 
13.3%
ValueCountFrequency (%)
1 3
 
6.7%
2 25
55.6%
3 9
 
20.0%
4 2
 
4.4%
ValueCountFrequency (%)
4 2
 
4.4%
3 9
 
20.0%
2 25
55.6%
1 3
 
6.7%

w3_D01
Real number (ℝ)

Missing 

In the coming months the WeNet team will continue its data collection and App testing activities. We would like to ask if we can contact you to participate in these activities. Your consent does not imply any obligation on your part, and you can decline the invitation at any time. 1. Yes, I agree to be contacted to participate in other data collection and App testing activities 2. No, I am not interested in continuing to participate in other App testing and data collection activities

Distinct2
Distinct (%)5.0%
Missing5
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean1.25
Minimum1
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.682055image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.25
95-th percentile2
Maximum2
Range1
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.4385290097
Coefficient of variation (CV)0.3508232077
Kurtosis-0.5917496444
Mean1.25
Median Absolute Deviation (MAD)0
Skewness1.200184658
Sum50
Variance0.1923076923
MonotonicityNot monotonic
2025-02-26T17:47:53.720298image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 30
66.7%
2 10
 
22.2%
(Missing) 5
 
11.1%
ValueCountFrequency (%)
1 30
66.7%
2 10
 
22.2%
ValueCountFrequency (%)
2 10
 
22.2%
1 30
66.7%

w3_interviewtime
Real number (ℝ)

Unique  Zeros 

interviewtime

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean594.052
Minimum0
Maximum3079.02
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.764638image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76.426
Q1317.37
median450.25
Q3673.23
95-th percentile1386.394
Maximum3079.02
Range3079.02
Interquartile range (IQR)355.86

Descriptive statistics

Standard deviation569.8078178
Coefficient of variation (CV)0.9591884512
Kurtosis10.8751383
Mean594.052
Median Absolute Deviation (MAD)160.1
Skewness3.059416882
Sum26732.34
Variance324680.9492
MonotonicityNot monotonic
2025-02-26T17:47:53.815344image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
873.52 1
 
2.2%
683.38 1
 
2.2%
2646.77 1
 
2.2%
571.11 1
 
2.2%
240.27 1
 
2.2%
99.05 1
 
2.2%
0.0 1
 
2.2%
348.29 1
 
2.2%
450.25 1
 
2.2%
577.01 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
0.0 1
2.2%
57.93 1
2.2%
70.77 1
2.2%
99.05 1
2.2%
137.86 1
2.2%
ValueCountFrequency (%)
3079.02 1
2.2%
2646.77 1
2.2%
1473.64 1
2.2%
1037.41 1
2.2%
873.52 1
2.2%

w3_GT_A
Real number (ℝ)

Missing 

Distinct44
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean313.1138636
Minimum40.78
Maximum2696.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.866778image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum40.78
5-th percentile58.0425
Q189.9025
median136.39
Q3310.19
95-th percentile1021.5995
Maximum2696.01
Range2655.23
Interquartile range (IQR)220.2875

Descriptive statistics

Standard deviation511.4026912
Coefficient of variation (CV)1.633280256
Kurtosis14.00258715
Mean313.1138636
Median Absolute Deviation (MAD)53.22
Skewness3.641486481
Sum13777.01
Variance261532.7126
MonotonicityNot monotonic
2025-02-26T17:47:53.918782image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
623.18 1
 
2.2%
323.37 1
 
2.2%
2149.24 1
 
2.2%
253.38 1
 
2.2%
108.57 1
 
2.2%
80.27 1
 
2.2%
104.01 1
 
2.2%
153.05 1
 
2.2%
143.61 1
 
2.2%
98.48 1
 
2.2%
Other values (34) 34
75.6%
ValueCountFrequency (%)
40.78 1
2.2%
55.24 1
2.2%
57.93 1
2.2%
58.68 1
2.2%
70.77 1
2.2%
ValueCountFrequency (%)
2696.01 1
2.2%
2149.24 1
2.2%
1088.36 1
2.2%
643.29 1
2.2%
623.18 1
2.2%

w3_GT_B
Real number (ℝ)

Missing 

Distinct42
Distinct (%)100.0%
Missing3
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean219.5692857
Minimum18.78
Maximum594.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:53.966621image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum18.78
5-th percentile112.806
Q1172.125
median204.34
Q3245.7725
95-th percentile377.662
Maximum594.85
Range576.07
Interquartile range (IQR)73.6475

Descriptive statistics

Standard deviation97.18600944
Coefficient of variation (CV)0.4426211486
Kurtosis5.036186129
Mean219.5692857
Median Absolute Deviation (MAD)37.615
Skewness1.66084632
Sum9221.91
Variance9445.120431
MonotonicityNot monotonic
2025-02-26T17:47:54.015436image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
204.21 1
 
2.2%
217.66 1
 
2.2%
111.75 1
 
2.2%
18.78 1
 
2.2%
216.55 1
 
2.2%
174.47 1
 
2.2%
242.27 1
 
2.2%
204.47 1
 
2.2%
217.45 1
 
2.2%
85.28 1
 
2.2%
Other values (32) 32
71.1%
(Missing) 3
 
6.7%
ValueCountFrequency (%)
18.78 1
2.2%
85.28 1
2.2%
111.75 1
2.2%
132.87 1
2.2%
135.05 1
2.2%
ValueCountFrequency (%)
594.85 1
2.2%
448.58 1
2.2%
379.25 1
2.2%
347.49 1
2.2%
342.3 1
2.2%

w3_GT_C
Real number (ℝ)

Missing 

Distinct41
Distinct (%)100.0%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean77.2802439
Minimum6.49
Maximum338.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:54.063218image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum6.49
5-th percentile10.48
Q127.48
median64.79
Q395.74
95-th percentile182.97
Maximum338.48
Range331.99
Interquartile range (IQR)68.26

Descriptive statistics

Standard deviation63.24107358
Coefficient of variation (CV)0.8183342907
Kurtosis6.161562895
Mean77.2802439
Median Absolute Deviation (MAD)32.04
Skewness1.938567355
Sum3168.49
Variance3999.433387
MonotonicityNot monotonic
2025-02-26T17:47:54.112838image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
162.2 1
 
2.2%
119.79 1
 
2.2%
80.67 1
 
2.2%
15.63 1
 
2.2%
16.82 1
 
2.2%
113.55 1
 
2.2%
182.97 1
 
2.2%
63.35 1
 
2.2%
12.03 1
 
2.2%
6.49 1
 
2.2%
Other values (31) 31
68.9%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
6.49 1
2.2%
9.24 1
2.2%
10.48 1
2.2%
12.03 1
2.2%
12.33 1
2.2%
ValueCountFrequency (%)
338.48 1
2.2%
182.99 1
2.2%
182.97 1
2.2%
162.2 1
2.2%
146.59 1
2.2%

w3_GT_D
Real number (ℝ)

Missing 

Distinct41
Distinct (%)100.0%
Missing4
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean13.77878049
Minimum2.3
Maximum30.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2025-02-26T17:47:54.161076image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile5.31
Q110.01
median12.04
Q316.83
95-th percentile21.36
Maximum30.94
Range28.64
Interquartile range (IQR)6.82

Descriptive statistics

Standard deviation5.847751788
Coefficient of variation (CV)0.4244027106
Kurtosis1.804706188
Mean13.77878049
Median Absolute Deviation (MAD)2.88
Skewness0.9340322854
Sum564.93
Variance34.19620098
MonotonicityNot monotonic
2025-02-26T17:47:54.207521image/svg+xmlMatplotlib v3.9.4, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
16.6 1
 
2.2%
30.25 1
 
2.2%
19.4 1
 
2.2%
4.32 1
 
2.2%
10.91 1
 
2.2%
9.18 1
 
2.2%
8.16 1
 
2.2%
19.02 1
 
2.2%
10.44 1
 
2.2%
5.31 1
 
2.2%
Other values (31) 31
68.9%
(Missing) 4
 
8.9%
ValueCountFrequency (%)
2.3 1
2.2%
4.32 1
2.2%
5.31 1
2.2%
8.16 1
2.2%
9.16 1
2.2%
ValueCountFrequency (%)
30.94 1
2.2%
30.25 1
2.2%
21.36 1
2.2%
19.83 1
2.2%
19.4 1
2.2%